Overview
On Site
USD 170,700.00 - 300,200.00 per year
Full Time
Skills
Machine Learning (ML)
Data Science
Open source
Use cases
Software development
Apache Mesos
Software architecture
Generative Artificial Intelligence (AI)
Computer science
IMPACT
Management
Streaming
Data
DevOps
Java
Python
Automation
Continuous integration
Continuous delivery
Microservices
Software deployment
Cloud computing
Orchestration
Kubernetes
Communication
Innovation
Payments
Job Details
Summary
Apple's Applied Machine Learning team has built systems for a number of large-scale data science applications. We work on many high-impact projects that serve various Apple lines of business. We use the latest in open source technology and as committers on some of these projects, we are pushing the envelope. Working with multiple lines of business, we manage many streams of Apple-scale data. We bring it all together and extract the value. We do all this with an exceptional group of software engineers, data scientists, SRE/DevOps engineers and managers.We are looking for software engineer with passion for building scalable platform to delight users.This role involves building platform and services to enable the full life cycle of ingestion, parsing, vectorization and serving of LLM models for several enterprise use cases at Apple.
Key Qualifications
10+ years of experience as a platform Software Development EngineerScripting and programming skills in Java, Python, GoExcellent Automation skills and CI/CD pipeline experience is a plusGood understanding of microservice topologies and deployment patterns in the cloud Experience with cloud orchestration engines such as Kubernetes, Apache Mesos, or similar Ability to triage problems, prioritize accordingly, and propose a resolutionPassion for software architecture, APIs and dedication extensible softwareCreative, collaborative, and product-focusedExcellent communication skills
Description
This role involves building platform and services to enable the full life cycle of ingestion, parsing, vectorization and serving of LLM models for several enterprise use cases at Apple. Engineers will be working on cutting edge technologies to build the foundation of enterprise ML serving applications using the latest innovation in Generative AI in a cloud native architecture.
Education & Experience
BS/MS in computer science or related field with 10+ years of experience
Pay & Benefits
Apple's Applied Machine Learning team has built systems for a number of large-scale data science applications. We work on many high-impact projects that serve various Apple lines of business. We use the latest in open source technology and as committers on some of these projects, we are pushing the envelope. Working with multiple lines of business, we manage many streams of Apple-scale data. We bring it all together and extract the value. We do all this with an exceptional group of software engineers, data scientists, SRE/DevOps engineers and managers.We are looking for software engineer with passion for building scalable platform to delight users.This role involves building platform and services to enable the full life cycle of ingestion, parsing, vectorization and serving of LLM models for several enterprise use cases at Apple.
Key Qualifications
10+ years of experience as a platform Software Development EngineerScripting and programming skills in Java, Python, GoExcellent Automation skills and CI/CD pipeline experience is a plusGood understanding of microservice topologies and deployment patterns in the cloud Experience with cloud orchestration engines such as Kubernetes, Apache Mesos, or similar Ability to triage problems, prioritize accordingly, and propose a resolutionPassion for software architecture, APIs and dedication extensible softwareCreative, collaborative, and product-focusedExcellent communication skills
Description
This role involves building platform and services to enable the full life cycle of ingestion, parsing, vectorization and serving of LLM models for several enterprise use cases at Apple. Engineers will be working on cutting edge technologies to build the foundation of enterprise ML serving applications using the latest innovation in Generative AI in a cloud native architecture.
Education & Experience
BS/MS in computer science or related field with 10+ years of experience
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $170,700 and $300,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.